Goshen R - Search Results

1

Computer-Assisted Flagging of Individuals at High Risk of Colorectal Cancer in a Large Health Maintenance Organization Using the ColonFlag Test.

Goshen R, Choman E, Ran A, Muller E, Kariv R, Chodick G, Ash N, Narod S, Shalev V. Goshen R, et al. JCO Clin Cancer Inform. 2018 Dec;2:1-8. doi: 10.1200/CCI.17.00130. JCO Clin Cancer Inform. 2018. PMID: 30652563

2

Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer.

Kinar Y, Akiva P, Choman E, Kariv R, Shalev V, Levin B, Narod SA, Goshen R. Kinar Y, et al. Among authors: goshen r. PLoS One. 2017 Feb 9;12(2):e0171759. doi: 10.1371/journal.pone.0171759. eCollection 2017. PLoS One. 2017. PMID: 28182647 Free PMC article.

3

Predicting the presence of colon cancer in members of a health maintenance organisation by evaluating analytes from standard laboratory records.

Goshen R, Mizrahi B, Akiva P, Kinar Y, Choman E, Shalev V, Sopik V, Kariv R, Narod SA. Goshen R, et al. Br J Cancer. 2017 Mar 28;116(7):944-950. doi: 10.1038/bjc.2017.53. Epub 2017 Mar 2. Br J Cancer. 2017. PMID: 28253525 Free PMC article.

4

Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.

Hornbrook MC, Goshen R, Choman E, O'Keeffe-Rosetti M, Kinar Y, Liles EG, Rust KC. Hornbrook MC, et al. Among authors: goshen r. Dig Dis Sci. 2017 Oct;62(10):2719-2727. doi: 10.1007/s10620-017-4722-8. Epub 2017 Aug 23. Dig Dis Sci. 2017. PMID: 28836087

5

Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (ColonFlag).

Hilsden RJ, Heitman SJ, Mizrahi B, Narod SA, Goshen R. Hilsden RJ, et al. Among authors: goshen r. PLoS One. 2018 Nov 27;13(11):e0207848. doi: 10.1371/journal.pone.0207848. eCollection 2018. PLoS One. 2018. PMID: 30481208 Free PMC article.

6

Prediction of progression from pre-diabetes to diabetes: Development and validation of a machine learning model.

Cahn A, Shoshan A, Sagiv T, Yesharim R, Goshen R, Shalev V, Raz I. Cahn A, et al. Among authors: goshen r. Diabetes Metab Res Rev. 2020 Feb;36(2):e3252. doi: 10.1002/dmrr.3252. Epub 2020 Jan 14. Diabetes Metab Res Rev. 2020. PMID: 31943669

7

Correction to: Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.

Hornbrook MC, Goshen R, Choman E, O'Keeffe-Rosetti M, Kinar Y, Liles EG, Rust KC. Hornbrook MC, et al. Among authors: goshen r. Dig Dis Sci. 2018 Jan;63(1):270. doi: 10.1007/s10620-017-4859-5. Dig Dis Sci. 2018. PMID: 29181742

8

Familial and hormonal risk factors for papillary serous uterine cancer.

Elit L, Pal T, Goshen R, Jernström H, Ackerman I, Fyles A, Carey M, Mitchell M, Aube J, Narod SA. Elit L, et al. Among authors: goshen r. Eur J Gynaecol Oncol. 2002;23(3):187-90. Eur J Gynaecol Oncol. 2002. PMID: 12094951

9

Is uterine papillary serous adenocarcinoma a manifestation of the hereditary breast-ovarian cancer syndrome?

Goshen R, Chu W, Elit L, Pal T, Hakimi J, Ackerman I, Fyles A, Mitchell M, Narod SA. Goshen R, et al. Gynecol Oncol. 2000 Dec;79(3):477-81. doi: 10.1006/gyno.2000.6003. Gynecol Oncol. 2000. PMID: 11104623

10

Epithelial ovarian cancer, infertility and induction of ovulation: possible pathogenesis and updated concepts.

Goshen R, Weissman A, Shoham Z. Goshen R, et al. Baillieres Clin Obstet Gynaecol. 1998 Dec;12(4):581-91. doi: 10.1016/s0950-3552(98)80053-9. Baillieres Clin Obstet Gynaecol. 1998. PMID: 10627769 Review.

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